1 to 25 of 319 Permanent Neural Network Jobs in England

you're passionate about pushing the boundaries of AI, we want you on board! Job Description We are seeking an experienced Neural Network Optimization Engineer who will specialize in enhancing the performance, latency, and throughput of neural network inference workflows. The ideal candidate will … ML researchers to ensure that our machine learning models run at peak efficiency and reliability in production environments. Key Responsibilities Optimize neural network models for inference performance and latency reduction Benchmark, analyze, and improve inference performance on targeted hardware platforms. Collaborate with the ML researchers to deploy … Stay updated with the latest developments in model optimization, inference engines, quantization methods, and related technologies. Requirements Proven professional experience optimizing neural network inference workloads. Strong expertise with TensorRT, Triton language, CUDA programming. Experience with neural network quantization techniques. Proficiency in Python and PyTorch. More ❯

D projects to drive step changes in the Stack’s capabilities longer term. The code frameworks you will work on include neural network execution engines, genetic algorithms and training frameworks. This dynamic role will require you to have a broad interest in and experience in software engineering … working collaboratively with other developers on innovative code bases.Experience of genetic algorithms, low level neural network execution and concepts such as neuroplasticity, recurrent neural networks and reinforcement learning frameworks like OpenAI Gym would be a huge advantage. This role requires specific experience with Python and … discipline Strong experience with a statically typed language, preferably C, C++, or Rust Experience with genetic algorithms or neuroevolution Experience with neural network concepts such as neuroplasticity and recurrent neural networks Experience of reinforcement learning frameworks like OpenAI Gym Experience with software optimisation or high More ❯

D projects to drive step changes in the Stack’s capabilities longer term. The code frameworks you will work on include neural network execution engines, genetic algorithms and training frameworks. This dynamic role will require you to have a broad interest in and experience in software engineering … working collaboratively with other developers on innovative code bases.Experience of genetic algorithms, low level neural network execution and concepts such as neuroplasticity, recurrent neural networks and reinforcement learning frameworks like OpenAI Gym would be a huge advantage. This role requires specific experience with Python and … discipline Strong experience with a statically typed language, preferably C, C++, or Rust Experience with genetic algorithms or neuroevolution Experience with neural network concepts such as neuroplasticity and recurrent neural networks Experience of reinforcement learning frameworks like OpenAI Gym Experience with software optimisation or high More ❯

D projects to drive step changes in the Stack’s capabilities longer term. The code frameworks you will work on include neural network execution engines, genetic algorithms and training frameworks. This dynamic role will require you to have a broad interest in and experience in software engineering … working collaboratively with other developers on innovative code bases.Experience of genetic algorithms, low level neural network execution and concepts such as neuroplasticity, recurrent neural networks and reinforcement learning frameworks like OpenAI Gym would be a huge advantage. This role requires specific experience with Python and … discipline Strong experience with a statically typed language, preferably C, C++, or Rust Experience with genetic algorithms or neuroevolution Experience with neural network concepts such as neuroplasticity and recurrent neural networks Experience of reinforcement learning frameworks like OpenAI Gym Experience with software optimisation or high More ❯

D projects to drive step changes in the Stack’s capabilities longer term. The code frameworks you will work on include neural network execution engines, genetic algorithms and training frameworks. This dynamic role will require you to have a broad interest in and experience in software engineering … working collaboratively with other developers on innovative code bases.Experience of genetic algorithms, low level neural network execution and concepts such as neuroplasticity, recurrent neural networks and reinforcement learning frameworks like OpenAI Gym would be a huge advantage. This role requires specific experience with Python and … discipline Strong experience with a statically typed language, preferably C, C++, or Rust Experience with genetic algorithms or neuroevolution Experience with neural network concepts such as neuroplasticity and recurrent neural networks Experience of reinforcement learning frameworks like OpenAI Gym Experience with software optimisation or high More ❯

APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting new positions available for Machine Learning Engineers to join a forward-thinking AI company. This is your opportunity to … APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) This is your chance to contribute to an innovative, technically demanding project focused on developing a cutting-edge machine learning application from the More ❯

APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting new positions available for Machine Learning Engineers to join a forward-thinking AI company. This is your opportunity to … APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) This is your chance to contribute to an innovative, technically demanding project focused on developing a cutting-edge machine learning application from the More ❯

APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting new positions available for Machine Learning Engineers to join a forward-thinking AI company. This is your opportunity to … APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) This is your chance to contribute to an innovative, technically demanding project focused on developing a cutting-edge machine learning application from the More ❯

APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting new positions available for Machine Learning Engineers to join a forward-thinking AI company. This is your opportunity to … APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) This is your chance to contribute to an innovative, technically demanding project focused on developing a cutting-edge machine learning application from the More ❯

flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data sources and design methods for data … Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights. Neural Network Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and … field. Experience with large language models (LLMs) and prompt engineering. Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks. Strong programming skills in languages such as Python, R, or Java Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or More ❯

flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data sources and design methods for data … Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights. Neural Network Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and … field. Experience with large language models (LLMs) and prompt engineering. Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks. Strong programming skills in languages such as Python, R, or Java Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or More ❯

flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data sources and design methods for data … Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights. Neural Network Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and … field. Experience with large language models (LLMs) and prompt engineering. Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks. Strong programming skills in languages such as Python, R, or Java Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or More ❯

flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data sources and design methods for data … Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights. Neural Network Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and … field. Experience with large language models (LLMs) and prompt engineering. Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks. Strong programming skills in languages such as Python, R, or Java Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or More ❯

Research, design, and implement state-of-the-art generative models (diffusion, auto-regressive, etc.) for high-quality image and video generation. - Optimize deep neural networks for deployment on Neural Processing Units (NPUs), maximizing efficiency and performance. - Collaborate with cross-functional teams, including researchers, engineers, and product … developing and optimizing generative models, particularly diffusion and auto-regressive models, for image and video applications. - Strong track record of optimizing neural network architectures specifically for NPUs or other hardware accelerators. - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). - Excellent analytical, communication, and collaborative More ❯

Research, design, and implement state-of-the-art generative models (diffusion, auto-regressive, etc.) for high-quality image and video generation. - Optimize deep neural networks for deployment on Neural Processing Units (NPUs), maximizing efficiency and performance. - Collaborate with cross-functional teams, including researchers, engineers, and product … developing and optimizing generative models, particularly diffusion and auto-regressive models, for image and video applications. - Strong track record of optimizing neural network architectures specifically for NPUs or other hardware accelerators. - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). - Excellent analytical, communication, and collaborative More ❯

ML tasks. Build and optimize tools for scalable probabilistic inference under memory, latency, and compute constraints. Apply and innovate on methods like Bayesian neural networks , variational autoencoders , diffusion models , and Gaussian processes for modern AI use cases. Collaborate closely with product, engineering, and business teams to build end More ❯

and machine learning. Experience analyzing large data sets, data cleaning, and statistical analysis. Proven experience with at least three machine learning algorithms (e.g., neural networks, logistic regression, random forests). Proficiency with Java and Python, understanding of data structures, algorithms, and software design patterns. Experience with AI/ More ❯

You will also need to be well-versed in various machine learning techniques, including supervised, unsupervised, and semi-supervised learning, as well as neural networks, support vector machines (SVM), tree-based methods, and deep learning algorithms. Knowledge in natural language understanding and generative AI will be essential. The More ❯

strong knowledge of ML algorithms, ranging from classical techniques to deep learning methods. Proven experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch, with a focus on optimizing performance and scalability for real-world applications. Demonstrated ability to mentor and lead technical More ❯

like Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More ❯

complex subjects to non-technical stakeholders You are familiar with Terraform , Python , Pandas , and NumPy It is great if you have: Experience with Neural Networks/Deep Learning. Experience with information extraction, parsing, and segmentation. Experience with machine learning frameworks ( sklearn ) and ML workflow. Experience with NLP libraries More ❯

Statsmodels, NumPy, SciPy, Matplotlib, TensorFlow, and Keras. Solid understanding of machine learning techniques, such as clustering, tree-based methods, boosting, text mining, and neural networks. Expertise in statistical modeling and techniques such as regression, hypothesis testing, simulation, resampling methods, and stratification. Degree in Data Science, Mathematics, Physics, Computer More ❯

like Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More ❯

numerous and complex variables - Essential Experience in applying machine learning solutions for genomics investigations - Essential Requirement: Experience using machine learning applications (e.g. convolutional neural networks, recurrent neural networks) - Essential Experience of working on externally funded projects - Essential Experience with next generation sequencing (RNA-Seq, DNA-Seq … based on integration of multi-omic data (genome, transcriptome, epigenome) and integrate this novel information in the development of tissue/condition specific regulatory network, with the aim of prioritising variants occurring within those regions based on their predicted impact. They will also lead on the analysis, preparation, and … submission of the associated manuscripts. The successful candidate will develop computational pipelines centered on machine learning applications such as convolutional neural network to reproducibly handle multi-omic data (genome, transcriptome . click apply for full job details More ❯

computer science. Demonstrated experience with geospatial imagery, computer vision techniques and classification algorithms (e.g., semantic segmentation, object detection, pixel classification, random forest, convolutional neural networks). Experience with cloud platforms or geospatial pipelines (e.g., Google Earth Engine). Strong programming skills in (preferably) Python. Strong statistical background. Familiarity More ❯